Artificial Intelligence-based Centralized Dispatcher Control System for Organizing Train Movement

The article presents recommendations for improving centralized dispatching control systems and introducing modern technologies. This system is aimed at ensuring efficient train traffic management, enhancing safety, and optimizing transportation processes. By using artificial intelligence and automated systems, train operations can be managed more effectively, while reducing the workload of train dispatchers and increasing labor productivity. The train traffic scheduling system developed on the basis of an automated workstation enables automated plotting of train movement graphs, early prediction of faults, and reduction of delays. In addition, the system contributes to reducing energy consumption, increasing economic efficiency, and improving safety. These processes enhance railway line capacity and reduce the occurrence of emergency situations in railway transport.

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